3 Artificial Intelligence Stocks to Buy in 2026 That Could Be Better Picks Than Palantir

The piece argues Alphabet, Micron and Nvidia are preferable AI investments to Palantir, citing product leadership and valuation contrasts. Key data: Palantir jumped ~140% in 2025 (after +340% prior year) and reported Q3 2025 revenue up 63% YoY with Q4 revenue guidance +12.5% QoQ; Nvidia posted revenue +62% YoY, +22% QoQ in Q3 and guided +14% QoQ for Q4. Micron is highlighted as one of three HBM suppliers and the only U.S.-based HBM maker, trading at a forward P/E of 9.2 and PEG ~0.5 versus Palantir's forward P/E 181.8 and PEG 2.8, while Alphabet is credited for Google Cloud growth, Gemini 3.0 LLM leadership and TPU adoption by major AI players.

Analysis

Market structure: Winners are large-scale AI infra providers — NVDA (GPUs), GOOG/GOOGL (TPUs + cloud) and MU (HBM supplier) — because stack-level vertical integration (models, chips, memory, cloud) creates durable pricing power; small cloud providers, niche AI software vendors and any AI play dependent on thin-margin memory access are potential losers. The HBM oligopoly (3 suppliers) and TPU adoption imply tight supply in 6–18 months, supporting supplier pricing power and capex-led margin expansion for MU and NVDA.

Risk assessment: Tail risks include export controls/geo-risk to Taiwan fabs (6–24 month shock), U.S./EU antitrust on cloud/AI (12–36 months), and a memory price collapse if capex overshoots (DRAM/HBM cyclical drawdown >30% in 6–12 months). Near-term (days–weeks) risks center on earnings/guide surprises (NVDA, PLTR, MU); medium-term (quarters) on capacity/contract announcements; hidden dependency: AI adoption hinges on HBM availability and TPU/GPU cost parity.

Trade implications: Prefer long NVDA and MU, short valuation-rich PLTR; target asymmetric exposures: NVDA for secular scale (6–18 month hold), MU for value + cyclical rebound (12–24 months), PLTR short or put spreads as a volatility play given 181x forward P/E. Options: buy 9–15 month LEAP calls on MU and NVDA (defined risk) and sell near-term calls to finance; consider long NVDA/short PLTR pair to isolate AI-demand beta.

Contrarian angles: Consensus underestimates Micron’s optionality if HBM tightness persists and memory pricing firm — MU could rerate from 9x to 12–15x forward EPS within 12 months. Conversely, PLTR’s government-contracted revenue is sticky but insufficient to justify 180x unless margins expand dramatically; NVDA concentration risk (Taiwan fabs, supply-chain geopolitics) is underpriced — size positions with geo-risk hedges.

Key Decisions for Investors

• Establish a 2.5–3.5% portfolio long in NVDA (equity or 9–15 month LEAP calls) with a 6–18 month horizon; set tactical stop-loss at -18% and trim into any +40–60% move to capture secular GPU adoption.
• Initiate a 2–3% portfolio position in MU via buy-and-hold or a buy-write (sell 3–6 week calls to lower cost); time-add on >15% pullback; target PE re-rating to 12–15x over 12–24 months and set protective stop at -20%.
• Construct a pair trade: long NVDA 2% / short PLTR 1–1.5% (or buy NVDA calls and buy PLTR 6–9 month put spreads) to capitalize on relative valuation (NVDA cheaper vs PLTR’s 181.8x forward P/E); rebalance if spread narrows by 30%.
• Use options to express asymmetric risk: buy 12-month MU LEAP calls and finance with 1–3 month covered calls or sell PLTR 6–9 month put spreads to hedge downside; maximum capital at risk per options theme = 1.5–2% of portfolio.
• Monitor 0–90 day catalysts: (a) NVDA and PLTR earnings/guidance (buy into positive upside; reduce into negative guide), (b) any public TPU/HBM multi-year supply agreements and US export-control headlines — if MU announces multiyear HBM deals, increase MU allocation by +1–2%.